Overwhelmed with AI lingo? I’ve got you.

Terminology to Sound Like An AI Pro At Your Next Meeting ✔️

Read Time: 4 minutes

Happy Friday!

I get requests from students who want to implement more AI, but get stuck with the learning curve because they need help to keep up with the terminology.

Let’s face it. New tech terminology can be daunting, and in my opinion, unnecessarily overwhelming…There’s hundreds of new words that have popped up in the last couple of years.

No, you don’t need to know all of them.

But if you want to keep up with the machine, you should learn these…

👇🏼

NEED TO KNOW: THE AI Fundamentals ✔️

Artificial Intelligence – AI

A branch of computer science focused on creating systems capable of performing tasks that typically require human intelligence, such as decision-making, speech recognition, and language translation.

Prompts – A set of instructions

An AI prompt acts as a guiding instruction, question, or command that helps an AI system understand exactly what you’re looking for. Whether it’s writing content, generating code, or providing responses, the prompt sets the stage for the AI to deliver the precise outcome you desire.

Algorithm – The building blocks of machine learning

An AI algorithm is a structured set of instructions that enables a computer to learn, process data, and perform tasks autonomously.

Generative AI – New content, human input

Generative AI is the kind of AI you can use to create new text, visual, and audio content. No, it’s not a new concept, but it’s been newly simplified and made accessible to everyone. Now, the whole world can use generative AI to massively speed up content creation tasks.

LLM – Large language model

A Large Language Model (LLM) is an AI that processes and generates human-like output using deep learning on vast data. These models are trained on diverse text, enabling them to understand context, translate languages, summarize content, and perform various language tasks. . ChatGPT, for example, is an LLM.

INTERMEDIATE LEVEL AI TERMS 🤖

NLP – Natural learning processing

NLP is a branch of artificial intelligence that uses computer algorithms to understand and process human language. Email filters are one of the most basic and initial applications of NLP online.

Multimodal models

Machine learning or LLM systems that can process and interpret information from multiple types of data at the same time, such as images, videos, text, audio, and code.

Ethical AI

The practice of ensuring that AI systems are developed and used in ways that are fair, transparent, and respect the rights of individuals, avoiding biases and ensuring accountability.

Data Privacy

The aspect of information technology that deals with the proper handling, processing, storage, and usage of data, particularly personal data, to ensure it is kept secure and confidential.

WOW YOUR WORKPLACE: ADVANCED 🤓

Hallucinations – AKA confabulation

An AI ‘hallucination’ occurs when AI systems generate incorrect or misleading results. This most often occurs when systems make predictions based on flawed or incomplete data or bad data.

This can happen when seeing objects that aren’t there or generating nonsensical text.

Bias

Also known as algorithm bias, refers to the occurrence of biased results due to human biases that skew the original training data or AI algorithm – leading to distorted outputs.

Inference

The process by which an AI model applies learned patterns from training data to new, unseen data in order to generate predictions or outputs.

That’s the hard and fast on AI terms. Keep these in your back pocket, and you’ll sound like an AI in no time!